About this app
About TOYS: Crash Arena
The LVCVA launched the “Vegas 5-Day Sale” last year in response to growing public sentiment that Las Vegas no longer provided value and that resorts were focused on nickel-and-diming customers. Many on social media criticized the tourism agency’s efforts as “too little, too late.”
The LVCVA, however, seemingly found the campaign successful, returning the five-day sales event this year.
Vegas is where travelers come to trade the expected for the unforgettable. The ‘Vegas 5-Day Sale’ gives visitors even more reasons to book the trip they have been talking about, whether that means checking into an iconic resort, seeing a favorite artist live, celebrating a milestone, or simply making a little room for spontaneity,” said Kate Wik, chief marketing officer at the LVCVA.
About TOYS: Crash Arena
The pure-play prediction market-operators, Polymarket and Kalshi, emerged from Week 1 as the clear winners. On one hand, Kalshi’s market share lead narrowed over its competitors, falling to 82% for the week ended 13 September, down from 86% a week earlier.
Still, Kalshi had a nine-fold lead over Polymarket, its next closest rival. Polymarket, meanwhile, led the group with 762,000 app downloads, edging Kalshi, DraftKings and FanDuel in the category. The downloads represented a 13,509% weekly increase and 25% of total category downloads, Polymarket wrote in a statement.
Across the market, operators delivered high double-digit gains compared with Labor Day weekend, which featured a full slate of college football games but no NFL contests. Two operators, DraftKings and Underdog each saw triple-digit growth, delivering weekly increases of 125% and 119%, respectively. Three others, Polymarket, Crypto.com and Novig, saw gains of at least 30%, led by Polymarket with a weekly increase of 46%.
What is TOYS: Crash Arena?
“Our role as a regulator is not to stand in the way of innovation, but to help create the certainty and confidence needed for innovation to flourish responsibly,” Mizzi said.
The charter does not create new regulatory obligations and was designed to complement legislation including the EU AI Act and GDPR.
Instead, it proposed a risk-based approach. It suggested lighter controls on use cases such as coding assistants, but strong checks on customer-facing functions, particularly those involving fraud and responsible gambling.
